Lead Data Architect

Boost Bank operates in the fast-growing digital banking and micro-lending ecosystem, focused on enabling financial inclusion for SMEs and underserved segments. Data is a core strategic asset powering risk decisions, regulatory compliance, and customer experience.

We are seeking a Lead Data Architect to lead, design, and continuously improve Boost Bank’s enterprise data platforms. This role requires deep hands‑on expertise in data engineering, data modelling, and data architecture, combined with strong leadership and a high level of curiosity to optimise data engineering processes using AI, automation, and emerging technologies.

The role requires both strategic vision and hands-on technical depth in data engineering, advanced data modelling, and enterprise architecture, combined with leadership responsibilities. The candidate is expected to design, build, and review production-grade data pipelines and models, while guiding the broader team and architecture direction.

Need to do

Act as a hands on technical leader, actively contributing to data engineering, data modelling, and architecture design.
Lead Data Engineering delivery, including hands-on development, code reviews, and troubleshooting of complex data pipelines.
Architect and implement enterprise data platforms and data products that support analytics, regulatory reporting, and business use cases.
Act as the technical authority for data modelling (conceptual, logical, physical), ensuring scalable and reusable data structures.
Administer and govern cloud data platforms, including security, access control, monitoring, and cost optimization.
Define and enforce data governance, standards, and architecture principles, ensuring they are implemented in code and pipelines, not just documented.
Architect data solutions that leverage AI, metadata, automation, and self service capabilities to improve data availability and reliability.
Mentor and coach Data Engineers to adopt AI assisted development, automated testing, and data quality frameworks.
Drive innovation in data architecture, engineering tooling, and platform operations.